Spatial Visualisation | Introduction

Jan-Philipp Kolb

07/17/2015

Motivation

Hello world

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Detail of the Fra Mauro Map describing the construction of the junks that navigate in the Indian Ocean.

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Migrant route to Germany

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The road to Europe

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Source: The independent

GDP per capita

Data source: World Development Indicators

GDP in German federal states

GDP in billion Euro

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Data source: Wikipedia

Polygon source: Global Administrative Areas (GADM)

More detailed - more interesting?

Social index - Proportion of social benefits recipients in Berlin

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Source: Tagesspiegel

Is the necessary data available?

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Source: Census Atlas

The spatial perspective…

But how to get the adequate data?

A little quiz - which town is it?

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A little quiz

A little quiz

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Source: Eric Fischer

World Map Of Touristiness

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Source: Touristiness

Based on tourist pictures uploaded on panoramio

Tracking Taxis Across Manhattan

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Source: The New York Times

Target / Motivation

The target is to visualize social aspects in maps.

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More examples

Spatial? - Motivation

Examples

Organisation

Targets

I want to….

Targets

Every participant should present his/her own maps.

Personal information

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University of Trier

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Source: Website with city maps

Erasmus - Univerity Lyon III

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Source: orangesmile

Organisation Gesis

Five departments - Survey Design and Methodology

Gesis

GESIS is:

GESIS offers:

Tasks GESIS-Team Statistics:

Consulting and research on …

Your background?

Tools and services

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Why use R - It’s open source

R is the leading tool for statistics, data analysis, and machine learning. It is more than a statistical package; itÂ’s a programming language, so you can create your own objects, functions, and packages.

Source: http://www.r-bloggers.com/why-use-r/

Why use R - many specific packages

A big number of (very specific) packages:

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Overview of available packages on CRAN

Why use R - overview of reasons

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Why use R - interfaces

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Why use R - GIS

R can be used as geographic information systems (GIS)

Why use R - visualisation

Because it is possible to create nice graphics:

Github stack

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Github page

https://github.com/Japhilko/GeoData

If you are interested in what is behind the scenes:

How to learn R

I will try to keep it simple and provide lots of resources.

Basic R

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Download and install R

http://mirrors.softliste.de/cran/

Rstudio

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Source: R-programming